As shown in Table REF , our proposed entity embedding from BERT significantly outperforms the entity embedding proposed by [1]} ganea2017deep on three typing systems FIGER,  BBN  and OntoNotes\(_{\text{fine}}\) . Specifically, our method improves over the baseline with an absolute 8.31, 10.43 and 9.33 \(F1_{\text{mi}}\)   point than the baseline on three typing systems respectively. This demonstrates that our proposed entity embeddings from BERT indeed capture better latent entity type information than [1]} ganea2017deep.
